Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "114" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 95 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 93 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459912 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.789407 | 0.829984 | 0.608788 | -0.923997 | 1.570552 | -1.693772 | 1.188589 | -0.234648 | 0.5226 | 0.6442 | 0.4334 | nan | nan |
| 2459911 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.945039 | 0.426219 | 0.603312 | -0.514738 | 4.502967 | -1.756637 | -0.071341 | -0.903386 | 0.5295 | 0.6423 | 0.4333 | nan | nan |
| 2459910 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.976250 | 0.499544 | 0.669617 | -0.528133 | 4.920801 | -1.710273 | 0.523519 | -0.806924 | 0.5328 | 0.6444 | 0.4323 | nan | nan |
| 2459909 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.302224 | 0.528543 | 0.644222 | -0.747207 | 3.197429 | -1.283331 | 1.598958 | -0.688672 | 0.5295 | 0.6438 | 0.4314 | nan | nan |
| 2459908 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.655127 | 0.563374 | 0.763603 | -0.640665 | 4.246828 | -1.216081 | 1.916979 | -0.537657 | 0.5333 | 0.6522 | 0.4298 | nan | nan |
| 2459907 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.637856 | 0.679448 | 0.748221 | -0.689385 | 4.260892 | -0.989709 | 2.671609 | -0.518627 | 0.5314 | 0.6498 | 0.4298 | nan | nan |
| 2459906 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.534341 | 0.651576 | 0.666871 | -0.196053 | 5.020534 | -0.767505 | 1.852655 | -0.453264 | 0.5224 | 0.6406 | 0.4297 | nan | nan |
| 2459905 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.223802 | 0.625252 | 0.552836 | -0.312562 | 2.627160 | -1.140137 | 3.305933 | -0.464402 | 0.5186 | 0.6368 | 0.4340 | nan | nan |
| 2459904 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.558535 | 0.598959 | 1.041397 | -0.081471 | 5.901451 | -0.972630 | 1.468569 | -0.597071 | 0.5088 | 0.6374 | 0.4311 | nan | nan |
| 2459903 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.036610 | 0.764950 | 1.277303 | -0.277901 | 6.926359 | -1.252088 | 1.873222 | -0.826727 | 0.5081 | 0.6412 | 0.4393 | nan | nan |
| 2459902 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.434006 | 0.971008 | 0.997989 | 0.026272 | 5.553119 | -1.060911 | 2.519273 | -0.499661 | 0.5279 | 0.6426 | 0.4268 | nan | nan |
| 2459901 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.436223 | 0.567657 | 0.903164 | -0.575239 | 6.101688 | -0.841822 | 2.411278 | -0.731497 | 0.5215 | 0.6403 | 0.4277 | nan | nan |
| 2459900 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.415220 | 0.382212 | 0.967749 | -0.617413 | 8.486760 | -0.149063 | 2.293651 | -0.677791 | 0.4719 | 0.6027 | 0.3689 | nan | nan |
| 2459898 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.254375 | 0.474894 | 0.862351 | -0.497378 | 4.637429 | -1.513033 | 2.922189 | -0.690583 | 0.5201 | 0.6445 | 0.4319 | nan | nan |
| 2459897 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.293366 | 0.561314 | 0.784844 | -0.368452 | 6.874482 | -1.637815 | 1.902380 | -0.484356 | 0.5268 | 0.6495 | 0.4286 | nan | nan |
| 2459896 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.194427 | 0.581654 | 1.012186 | -0.244747 | 6.845494 | -2.198174 | 1.989281 | -0.614063 | 0.5310 | 0.6541 | 0.4291 | nan | nan |
| 2459895 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.269009 | 0.522183 | 0.932302 | 0.080984 | 0.770401 | -1.875776 | 0.098489 | -2.195424 | 0.6816 | 0.7405 | 0.2894 | nan | nan |
| 2459894 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.148914 | 0.467064 | 0.435638 | -0.453693 | 4.093328 | -1.571997 | 1.295108 | -0.689073 | 0.5442 | 0.6517 | 0.4121 | nan | nan |
| 2459893 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.661636 | 0.670483 | 0.924067 | -0.560412 | 5.622475 | -1.864864 | 2.338826 | -0.537330 | 0.5352 | 0.6547 | 0.4188 | nan | nan |
| 2459892 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.564695 | 0.591993 | 1.081547 | -0.453698 | 7.030188 | -0.739109 | 3.061900 | -0.743085 | 0.5338 | 0.6553 | 0.4215 | nan | nan |
| 2459891 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.525733 | 0.515977 | 0.856346 | -0.325425 | 4.653433 | -1.274421 | 1.814205 | -0.657505 | 0.5256 | 0.6458 | 0.4236 | nan | nan |
| 2459890 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.783251 | 0.443875 | 0.868106 | -0.235852 | 2.248424 | -1.945527 | 2.693898 | -0.501898 | 0.5356 | 0.6423 | 0.4176 | nan | nan |
| 2459889 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.588265 | 0.604294 | 0.514425 | -0.433540 | 4.866827 | -2.778196 | 0.957388 | -0.874844 | 0.5416 | 0.6487 | 0.4155 | nan | nan |
| 2459888 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.256151 | 0.506127 | 0.971661 | -0.127071 | 4.150579 | -1.548719 | 0.897547 | -1.227247 | 0.5707 | 0.6716 | 0.4071 | nan | nan |
| 2459887 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.739977 | 0.461515 | 1.141191 | -0.844700 | 2.283931 | -1.394490 | 1.156610 | -0.360069 | 0.5467 | 0.6495 | 0.4198 | nan | nan |
| 2459886 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.934321 | 0.578338 | 1.065312 | -0.173328 | 0.434402 | -1.473736 | 0.714633 | -1.385608 | 0.6437 | 0.7079 | 0.3585 | nan | nan |
| 2459885 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.976955 | 2.621715 | 3.962356 | 20.777696 | 5.834468 | 3.655464 | 1.287150 | 3.421329 | 0.6137 | 0.6901 | 0.3761 | nan | nan |
| 2459884 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.362672 | 3.854452 | 2.319198 | 3.912474 | 2.176820 | 4.069985 | 0.593743 | -2.861842 | 0.4895 | 0.6444 | 0.4335 | nan | nan |
| 2459883 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.861089 | 6.488178 | 11.885134 | 37.924228 | 3.810179 | 6.647768 | 2.271415 | -5.013536 | 0.4930 | 0.6556 | 0.4311 | nan | nan |
| 2459882 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 27.338095 | 25.018311 | 81.495557 | 70.271359 | 19.122523 | 20.006650 | 221.294779 | 191.664211 | 0.0257 | 0.0291 | 0.0025 | nan | nan |
| 2459881 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.324114 | 6.658155 | 14.440665 | 49.800331 | 12.061897 | 17.582496 | 3.370948 | 1.455455 | 0.5524 | 0.7090 | 0.3668 | nan | nan |
| 2459880 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.720885 | 7.267264 | 12.696190 | 40.425812 | 4.318995 | 5.782322 | 2.003176 | -2.926219 | 0.4831 | 0.6537 | 0.4397 | nan | nan |
| 2459879 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.781476 | 2.721450 | 2.517459 | 1.209308 | 1.579212 | -0.756720 | 0.882033 | -3.367808 | 0.4512 | 0.6455 | 0.4563 | nan | nan |
| 2459878 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.691610 | 7.096530 | 15.610369 | 49.431211 | 7.507741 | 10.103976 | 3.966605 | -5.059550 | 0.4747 | 0.6573 | 0.4456 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 4.789407 | 0.829984 | 4.789407 | -0.923997 | 0.608788 | -1.693772 | 1.570552 | -0.234648 | 1.188589 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 4.945039 | 0.426219 | 4.945039 | -0.514738 | 0.603312 | -1.756637 | 4.502967 | -0.903386 | -0.071341 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 4.976250 | 0.499544 | 4.976250 | -0.528133 | 0.669617 | -1.710273 | 4.920801 | -0.806924 | 0.523519 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.302224 | 0.528543 | 5.302224 | -0.747207 | 0.644222 | -1.283331 | 3.197429 | -0.688672 | 1.598958 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.655127 | 5.655127 | 0.563374 | 0.763603 | -0.640665 | 4.246828 | -1.216081 | 1.916979 | -0.537657 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.637856 | 0.679448 | 5.637856 | -0.689385 | 0.748221 | -0.989709 | 4.260892 | -0.518627 | 2.671609 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.534341 | 0.651576 | 5.534341 | -0.196053 | 0.666871 | -0.767505 | 5.020534 | -0.453264 | 1.852655 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.223802 | 0.625252 | 5.223802 | -0.312562 | 0.552836 | -1.140137 | 2.627160 | -0.464402 | 3.305933 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Variability | 5.901451 | 0.598959 | 5.558535 | -0.081471 | 1.041397 | -0.972630 | 5.901451 | -0.597071 | 1.468569 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Variability | 6.926359 | 0.764950 | 6.036610 | -0.277901 | 1.277303 | -1.252088 | 6.926359 | -0.826727 | 1.873222 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 6.434006 | 6.434006 | 0.971008 | 0.997989 | 0.026272 | 5.553119 | -1.060911 | 2.519273 | -0.499661 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 6.436223 | 6.436223 | 0.567657 | 0.903164 | -0.575239 | 6.101688 | -0.841822 | 2.411278 | -0.731497 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Variability | 8.486760 | 5.415220 | 0.382212 | 0.967749 | -0.617413 | 8.486760 | -0.149063 | 2.293651 | -0.677791 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.254375 | 0.474894 | 5.254375 | -0.497378 | 0.862351 | -1.513033 | 4.637429 | -0.690583 | 2.922189 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Variability | 6.874482 | 0.561314 | 5.293366 | -0.368452 | 0.784844 | -1.637815 | 6.874482 | -0.484356 | 1.902380 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Variability | 6.845494 | 0.581654 | 5.194427 | -0.244747 | 1.012186 | -2.198174 | 6.845494 | -0.614063 | 1.989281 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.269009 | 5.269009 | 0.522183 | 0.932302 | 0.080984 | 0.770401 | -1.875776 | 0.098489 | -2.195424 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 6.148914 | 0.467064 | 6.148914 | -0.453693 | 0.435638 | -1.571997 | 4.093328 | -0.689073 | 1.295108 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 6.661636 | 6.661636 | 0.670483 | 0.924067 | -0.560412 | 5.622475 | -1.864864 | 2.338826 | -0.537330 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Variability | 7.030188 | 0.591993 | 6.564695 | -0.453698 | 1.081547 | -0.739109 | 7.030188 | -0.743085 | 3.061900 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.525733 | 5.525733 | 0.515977 | 0.856346 | -0.325425 | 4.653433 | -1.274421 | 1.814205 | -0.657505 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.783251 | 0.443875 | 5.783251 | -0.235852 | 0.868106 | -1.945527 | 2.248424 | -0.501898 | 2.693898 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 6.588265 | 6.588265 | 0.604294 | 0.514425 | -0.433540 | 4.866827 | -2.778196 | 0.957388 | -0.874844 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.256151 | 0.506127 | 5.256151 | -0.127071 | 0.971661 | -1.548719 | 4.150579 | -1.227247 | 0.897547 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.739977 | 0.461515 | 5.739977 | -0.844700 | 1.141191 | -1.394490 | 2.283931 | -0.360069 | 1.156610 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 5.934321 | 5.934321 | 0.578338 | 1.065312 | -0.173328 | 0.434402 | -1.473736 | 0.714633 | -1.385608 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | nn Power | 20.777696 | 2.621715 | 9.976955 | 20.777696 | 3.962356 | 3.655464 | 5.834468 | 3.421329 | 1.287150 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 7.362672 | 3.854452 | 7.362672 | 3.912474 | 2.319198 | 4.069985 | 2.176820 | -2.861842 | 0.593743 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | nn Power | 37.924228 | 6.488178 | 10.861089 | 37.924228 | 11.885134 | 6.647768 | 3.810179 | -5.013536 | 2.271415 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Temporal Discontinuties | 221.294779 | 25.018311 | 27.338095 | 70.271359 | 81.495557 | 20.006650 | 19.122523 | 191.664211 | 221.294779 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | nn Power | 49.800331 | 6.658155 | 10.324114 | 49.800331 | 14.440665 | 17.582496 | 12.061897 | 1.455455 | 3.370948 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | nn Power | 40.425812 | 7.267264 | 12.720885 | 40.425812 | 12.696190 | 5.782322 | 4.318995 | -2.926219 | 2.003176 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | ee Shape | 6.781476 | 2.721450 | 6.781476 | 1.209308 | 2.517459 | -0.756720 | 1.579212 | -3.367808 | 0.882033 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 114 | N11 | not_connected | nn Power | 49.431211 | 7.096530 | 11.691610 | 49.431211 | 15.610369 | 10.103976 | 7.507741 | -5.059550 | 3.966605 |